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High-resolution global modeling of wheat’s water footprint using a machine learning ensemble approach

Published Online: 2025-03-27

Authors

Emeç, Murat https://orcid.org/0000-0002-9407-1728
Muratoğlu, Abdullah

Demir, Muhammed Sungur
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Text and Data Mining valid from 2025-03-27

Version of Record valid from 2025-03-27
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Article History

Received: 6 August 2024

Accepted: 18 February 2025

First Online: 27 March 2025

Declarations

:

: Not applicable.

: All authors approved the manuscript for publication in ecological processes.

: No competing interest exists in this manuscript.

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